126 related articles for article (PubMed ID: 35353054)
21. Mobility, balance and frailty in community-dwelling older adults: What is the best 1-year predictor of falls?
Mulasso A; Roppolo M; Gobbens RJ; Rabaglietti E
Geriatr Gerontol Int; 2017 Oct; 17(10):1463-1469. PubMed ID: 27683247
[TBL] [Abstract][Full Text] [Related]
22. Machine Learning Models of Survival Prediction in Trauma Patients.
Rau CS; Wu SC; Chuang JF; Huang CY; Liu HT; Chien PC; Hsieh CH
J Clin Med; 2019 Jun; 8(6):. PubMed ID: 31195670
[TBL] [Abstract][Full Text] [Related]
23. The prediction of readmission and mortality by the domains and components of the Tilburg Frailty Indicator (TFI): A prospective cohort study among acutely admitted older patients.
Gobbens RJJ; Andreasen J
Arch Gerontol Geriatr; 2020; 89():104077. PubMed ID: 32334333
[TBL] [Abstract][Full Text] [Related]
24. Modern modeling techniques had limited external validity in predicting mortality from traumatic brain injury.
van der Ploeg T; Nieboer D; Steyerberg EW
J Clin Epidemiol; 2016 Oct; 78():83-89. PubMed ID: 26987507
[TBL] [Abstract][Full Text] [Related]
25. Frailty and Risk of Adverse Outcomes in Hospitalized Older Adults: A Comparison of Different Frailty Measures.
Chong E; Ho E; Baldevarona-Llego J; Chan M; Wu L; Tay L
J Am Med Dir Assoc; 2017 Jul; 18(7):638.e7-638.e11. PubMed ID: 28587850
[TBL] [Abstract][Full Text] [Related]
26. The predictive validity of the Tilburg Frailty Indicator: disability, health care utilization, and quality of life in a population at risk.
Gobbens RJ; van Assen MA; Luijkx KG; Schols JM
Gerontologist; 2012 Oct; 52(5):619-31. PubMed ID: 22217462
[TBL] [Abstract][Full Text] [Related]
27. Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.
Yahya N; Ebert MA; Bulsara M; House MJ; Kennedy A; Joseph DJ; Denham JW
Med Phys; 2016 May; 43(5):2040. PubMed ID: 27147316
[TBL] [Abstract][Full Text] [Related]
28. Frailty and its prediction of disability and health care utilization: the added value of interviews and physical measures following a self-report questionnaire.
Gobbens RJ; van Assen MA
Arch Gerontol Geriatr; 2012; 55(2):369-79. PubMed ID: 22595766
[TBL] [Abstract][Full Text] [Related]
29. Validity and Reliability of the Polish Version of the Tilburg Frailty Indicator (TFI).
Uchmanowicz I; Jankowska-Polańska B; Uchmanowicz B; Kowalczuk K; Gobbens RJ
J Frailty Aging; 2016; 5(1):27-32. PubMed ID: 26980366
[TBL] [Abstract][Full Text] [Related]
30. Prediction of survival with alternative modeling techniques using pseudo values.
van der Ploeg T; Datema F; Baatenburg de Jong R; Steyerberg EW
PLoS One; 2014; 9(6):e100234. PubMed ID: 24950066
[TBL] [Abstract][Full Text] [Related]
31. Associations between lifestyle factors and multidimensional frailty: a cross-sectional study among community-dwelling older people.
van Assen MALM; Helmink JHM; Gobbens RJJ
BMC Geriatr; 2022 Jan; 22(1):7. PubMed ID: 34979945
[TBL] [Abstract][Full Text] [Related]
32. Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients.
DeVries Z; Hoda M; Rivers CS; Maher A; Wai E; Moravek D; Stratton A; Kingwell S; Fallah N; Paquet J; Phan P;
Spine J; 2020 Feb; 20(2):213-224. PubMed ID: 31525468
[TBL] [Abstract][Full Text] [Related]
33. Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.
Decruyenaere A; Decruyenaere P; Peeters P; Vermassen F; Dhaene T; Couckuyt I
BMC Med Inform Decis Mak; 2015 Oct; 15():83. PubMed ID: 26466993
[TBL] [Abstract][Full Text] [Related]
34. [Young frail elderly: assessed using the Tilburg Frailty Indicator].
Gobbens RJ; van Assen MA; Luijkx KG; Wijnen-Sponselee MT; Schols JM
Tijdschr Gerontol Geriatr; 2012 Dec; 43(6):296-307. PubMed ID: 23371872
[TBL] [Abstract][Full Text] [Related]
35. Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach.
Pasieczna AH; Szczepanowski R; Sobecki J; Katarzyniak R; Uchmanowicz I; Gobbens RJJ; Kahsin A; Dixit A
Sci Rep; 2023 May; 13(1):7782. PubMed ID: 37179399
[TBL] [Abstract][Full Text] [Related]
36. Associations and predictions of readmission or death in acutely admitted older medical patients using self-reported frailty and functional measures. A Danish cohort study.
Andreasen J; Aadahl M; Sørensen EE; Eriksen HH; Lund H; Overvad K
Arch Gerontol Geriatr; 2018; 76():65-72. PubMed ID: 29462759
[TBL] [Abstract][Full Text] [Related]
37. Portuguese version of the Tilburg Frailty Indicator: Transcultural adaptation and psychometric validation.
Coelho T; Santos R; Paúl C; Gobbens RJ; Fernandes L
Geriatr Gerontol Int; 2015 Aug; 15(8):951-60. PubMed ID: 25255891
[TBL] [Abstract][Full Text] [Related]
38. Frailty as a predictor of short-term adverse outcomes.
Coelho T; Paúl C; Gobbens RJ; Fernandes L
PeerJ; 2015; 3():e1121. PubMed ID: 26246968
[TBL] [Abstract][Full Text] [Related]
39. Comparison of 6 frailty screening tools in diagnostic properties among Chinese community-dwelling older people.
Si H; Jin Y; Qiao X; Tian X; Liu X; Wang C
Geriatr Nurs; 2021; 42(1):276-282. PubMed ID: 32948340
[TBL] [Abstract][Full Text] [Related]
40. The Validity of the SUNFRAIL Tool: A Cross-Sectional Study among Dutch Community-Dwelling Older People.
Gobbens RJJ; Maggio M; Longobucco Y; Barbolini M
J Frailty Aging; 2020; 9(4):219-225. PubMed ID: 32996558
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]